X-Hair: 3D Printing Hair-like Structures with Multi-form, Multi-property and Multi-function
In this paper, we present X-Hair, a method that enables 3D-printed hair with various forms, properties, and functions. We developed a two-step suspend printing strategy to fabricate hair-like structures in different forms (e.g. fluff, bristle, barb) by adjusting parameters including Extrusion Length Ratio and Total Length. Moreover, a design tool is also established for users to customize hair-like structures with various properties (e.g. pointy, stiff, soft) on imported 3D models, which virtually shows the results for previewing and generates G-code files for 3D printing. We demonstrate the design space of X-Hair and evaluate the properties of them with different parameters. Through a series of applications with hair-like structures, we validate X-hair’s practical usage of biomimicry, decoration, heat preservation, adhesion, and haptic interaction.
Authors
- Guanyun Wang (ORCID: https://orcid.org/0000-0002-7904-1504)
- Junzhe Ji (ORCID: https://orcid.org/0000-0003-2569-5542)
- Lingyun Sun (ORCID: https://orcid.org/0000-0002-5561-0493)
- Jiaji Li (ORCID: https://orcid.org/0000-0002-8864-2061)
- Ye Tao (ORCID: https://orcid.org/0000-0002-9152-7793)
- Xiaoyang Wu (ORCID: https://orcid.org/0009-0006-9687-8441)
- Lei Ren (ORCID: https://orcid.org/0000-0001-9021-9695)
- Xin Tang (ORCID: https://orcid.org/0009-0004-5505-541X)
- Yunkai Xu (ORCID: https://orcid.org/0009-0003-2772-4519)
- Boyu Feng (ORCID: https://orcid.org/0009-0006-7483-1140)
- X.‐J. ZHOU (ORCID: https://orcid.org/0009-0001-3274-0578)
- Chunyuan Zheng
Institutions
- Zhejiang International Studies University (CN)
- Vassar College (US)
- Zhejiang University of Science and Technology (CN)
- Hangzhou City University
- City University of Macau (MO)
- Zhejiang University (CN)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1145/3654777.3676360
- Citations
- 2
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.41